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  4. Kafka Tools
  5. Kafdrop vs KafkaHQ

Kafdrop vs KafkaHQ

OverviewComparisonAlternatives

Overview

KafkaHQ
KafkaHQ
Stacks9
Followers38
Votes0
Kafdrop
Kafdrop
Stacks13
Followers25
Votes0
GitHub Stars6.0K
Forks887

Kafdrop vs KafkaHQ: What are the differences?

Introduction

Kafdrop and KafkaHQ are two popular web-based UI tools designed for managing and monitoring Apache Kafka clusters. While both serve similar purposes, there are several key differences between the two.

  1. Design and User Interface: Kafdrop has a more modern and intuitive user interface compared to KafkaHQ. It offers a responsive design that adapts well to different screen sizes and devices. On the other hand, KafkaHQ has a more traditional and simplistic design.

  2. Supported Kafka Versions: Kafdrop supports a wider range of Kafka versions compared to KafkaHQ. Kafdrop is built using the Kafka consumer API, making it compatible with older Kafka versions. KafkaHQ, on the other hand, only supports Kafka versions 0.9.0.0 and above.

  3. Feature Set: Kafdrop offers a rich set of features including topic management, message browsing, consumer group monitoring, and metrics visualization. It also provides features like schema registry integration and message filtering. KafkaHQ, while still capable, has a more limited feature set with a focus on basic Kafka cluster management.

  4. Connectivity: Kafdrop supports connecting to multiple Kafka clusters simultaneously, making it suitable for managing and monitoring multiple Kafka environments. In contrast, KafkaHQ primarily focuses on managing a single Kafka cluster.

  5. Deployment Flexibility: Kafdrop can be easily deployed as a standalone application or as a Docker container. It provides better flexibility in terms of deployment options compared to KafkaHQ. KafkaHQ, on the other hand, requires installation and configuration on a server.

  6. Community Support and Updates: Kafdrop has a more active community and receives regular updates, bug fixes, and new feature releases. KafkaHQ, while still being maintained, has a less active community and may have longer periods between updates.

In summary, Kafdrop provides a more modern UI, supports a wider range of Kafka versions, offers a richer set of features, allows connectivity to multiple Kafka clusters, provides deployment flexibility, and has a more active community compared to KafkaHQ.

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Detailed Comparison

KafkaHQ
KafkaHQ
Kafdrop
Kafdrop

It is a Kafka GUI for topics, topics data, consumers group, schema registry, connect and more. It works with modern Kafka cluster.

It is a web UI for viewing Kafka topics and browsing consumer groups. The tool displays information such as brokers, topics, partitions, consumers, and lets you view messages.

Works with modern Kafka cluster (1.0+); Connection on standard or ssl, sasl cluster; Multi cluster; View data, offset, key, timestamp & headers; Automatic deserializarion of avro message encoded with schema registry; Configurations view; Logs view; Delete a record; Sort view; Filter per partitions; Filter with a starting time; Filter data with a search string
View Kafka brokers — topic and partition assignments, and controller status; View topics — partition count, replication status, and custom configuration; Browse messages — JSON, plain text and Avro encoding; View consumer groups — per-partition parked offsets, combined and per-partition lag; Create new topics; View ACLs; Support for Azure Event Hubs
Statistics
GitHub Stars
-
GitHub Stars
6.0K
GitHub Forks
-
GitHub Forks
887
Stacks
9
Stacks
13
Followers
38
Followers
25
Votes
0
Votes
0
Integrations
Java
Java
Kafka
Kafka
Kafka
Kafka

What are some alternatives to KafkaHQ, Kafdrop?

Kafka Manager

Kafka Manager

This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.

Kafka REST

Kafka REST

It provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. Examples of use cases include reporting data to Kafka from any frontend app built in any language, ingesting messages into a stream processing framework that doesn't yet support Kafka, and scripting administrative actions.

rdkafka

rdkafka

This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.

Kafka UI

Kafka UI

It is a simple tool that makes your data flows observable, helps find and troubleshoot issues faster and deliver optimal performance. Its lightweight dashboard makes it easy to track key metrics of your Kafka clusters - Brokers, Topics, Partitions, Production, and Consumption.

Kowl

Kowl

It is a web application that helps you to explore messages in your Apache Kafka cluster and get better insights on what is actually happening in your Kafka cluster in the most comfortable way.

Lenses

Lenses

It is a simple and secure self service DataOps platform, to operate with confidence on Apache Kafka & Kubernetes.

KafkaCenter

KafkaCenter

It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.

DoctorKafka

DoctorKafka

DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

Kattlo CLI

Kattlo CLI

It is for enterprises that need a stable way to change Apache Kafka configurations. It maintains the configuration and avoids drifts.

Monokl

Monokl

It is an open source downloadable desktop tool that works across all platforms and provides a simple way to visualize the performance of your Kafka cluster.

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